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The article discusses the challenges of assigning pricing models to AI services, especially as large language models (LLMs) and AI agents become more complex and costly. While companies like Microsoft, Google, and Anthropic invest heavily in developing AI, the unpredictability of token consumption and fluctuating costs make it difficult to set stable prices. Businesses often struggle to manage expenses related to AI token use, with some attempting to bypass or minimize costs, but pressure from vendors and shareholders may lead to tighter cost controls in the future.
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